Workforce strategy for a Dublin based IT services leader

Discover How Draup Transformed Workforce Planning and Skills Benchmarking

801,000+

Employee Count

$64.9 Bn

Revenue

Professional IT Services

Industry

Dublin, Ireland

Headquarters

About the Company

A $64.9B professional services powerhouse, the company specializes in digital, technology, and consulting. With 800K+ employees, it leads the industry in delivering strategy, cloud, and operations solutions to clients worldwide across sectors.

The Core Challenges

Anticipate demand for emerging digital and technology skills.

Benchmark workforce strategies against global peers.

Replace outdated skills taxonomy with a future-ready framework.

The Solution

Machine Learning Operations Engineer

PROFILE

LOCATION ANALYSIS

TALENT MARKET INSIGHTS

CAREER PATHS

DATA INTEGRATION

TECH STACK

The image is for representational purpose only.

Workforce Intelligence Planning

Mapped growth trajectories, demand-supply trends, and future-ready skills to guide workforce strategy.

Peer Intelligence Benchmarking

Delivered actionable insights into competitor practices, talent pools, and cost-benefit models across key locations.

Industry-Aligned Skill Mapping

Connected existing skills to Draup’s future-ready skills library, enabling prioritization of high-demand and niche roles.

Seamless Data Integration

Leveraged Draup’s robust data infrastructure and APIs for advanced analytics and planning.

Outcome

Strategic Talent Decisions

Clear roadmap for emerging skill investments and phasing out obsolete roles.

Enhanced Competitiveness

Benchmarked peers to refine organizational design, location choices, and workforce efficiency.

Future-Ready Workforce

Transitioned to a modern, market-aligned skills framework supporting agility and growth.

Powered by unparalleled global labor & market data

23K+

Skills

1B+

Professionals

5700+

Locations

1.6M+

Peer Group Companies

1B+

Job Descriptions

4M+

Career Paths

Data Trust & Methodology at Draup

Draup uses a structured methodology to reduce inaccuracies and prevent misleading information, with a focus on transparency and responsible data practices.

1

Data Transparency and Coverage

Draup sources data from diverse, vetted global inputs including public datasets, labor information, professional ecosystems, and industry research. Coverage varies by region and role, and we supplement limited areas with alternative sources and analyst-led modeling.

2

Profiles Behind the Numbers

All aggregate insights related to buyers, roles, skills, and locations are grounded in structured, anonymized human and organizational profiles rather than pure extrapolation. This ensures context, reliability, and protection of personal identities.

3

Data Hygiene and Integrity

We maintain a clean, accurate data environment by removing duplicates, outdated entities, and invalid records. Automated checks powered by ML models and analyst reviews work together to ensure clarity and accuracy for every entity, such as buyer, role, skill, technology, or company. Learn more

4

AI Governance and Bias Mitigation

Our governance framework combines automated evaluations with Human-in-the-Loop reviews. We use statistical checks, audits, and cross-source comparisons to reduce demographic and structural bias before insights reach the platform.

5

Compensation Guardrails

Compensation insights use blended, directional inputs such as aggregated ranges, benchmarks, modeled distributions, and market signals. We distinguish clearly between modeled and reported data and apply guardrails to prevent over-interpretation.

6

Hourly and Frontline Workforce Coverage

For hourly, frontline, and blue-collar roles where digital visibility is limited, we incorporate government datasets, localized labor information, and specialized partners to build a more complete and balanced view of workforce supply and demand.